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2021
Cavalletti F, Gigli N, Santarcangelo F. Displacement convexity of Entropy and the distance cost Optimal Transportation. Annales de la Faculté des sciences de Toulouse : Mathématiques [Internet]. 2021 ;Ser. 6, 30:411–427. Available from: https://afst.centre-mersenne.org/articles/10.5802/afst.1679/
Sillari L, Tomassini A. Doulbeault and $J$-invariant Cohomologies on Almost Complex Manifolds. Complex Analysis and Operator Theory [Internet]. 2021 ;15. Available from: https://link.springer.com/article/10.1007/s11785-021-01156-w
Andreuzzi F, Demo N, Rozza G. A dynamic mode decomposition extension for the forecasting of parametric dynamical systems. arXiv preprint arXiv:2110.09155. 2021 .
Sapio F. A dynamic model for viscoelasticity in domains with time-dependent cracks. [Internet]. 2021 ;28(6):67. Available from: https://doi.org/10.1007/s00030-021-00729-0
Pintore M, Pichi F, Hess MW, Rozza G, Canuto C. Efficient computation of bifurcation diagrams with a deflated approach to reduced basis spectral element method. Advances in Computational Mathematics. 2021 ;47.
Demo N, Ortali G, Gustin G, Rozza G, Lavini G. An efficient computational framework for naval shape design and optimization problems by means of data-driven reduced order modeling techniques. Bolletino dell Unione Matematica Italiana. 2021 ;14:211-230.
Bachmann S, De Roeck W, Fraas M, Lange M. Exactness of Linear Response in the Quantum Hall Effect. Annales Henri Poincaré [Internet]. 2021 ;22:1113–1132. Available from: http://dx.doi.org/10.1007/s00023-020-00989-z
Caponi M, Sapio F. An existence result for the fractional Kelvin–Voigt’s model on time-dependent cracked domains. [Internet]. 2021 . Available from: https://doi.org/10.1007/s00028-021-00713-2
Demo N, Strazzullo M, Rozza G. AN EXTENDED PHYSICS INFORMED NEURAL NETWORK FOR PRELIMINARY ANALYSIS OF PARAMETRIC OPTIMAL CONTROL PROBLEMS. 2021 .
Gigli N, Nobili F. A first-order condition for the independence on p of weak gradients. 2021 .
Zancanaro M, Ballarin F, Perotto S, Rozza G. Hierarchical model reduction techniques for flow modeling in a parametrized setting. Multiscale Modeling and Simulation. 2021 ;19:267-293.
Demo N, Tezzele M, Mola A, Rozza G. Hull Shape Design Optimization with Parameter Space and Model Reductions, and Self-Learning Mesh Morphing. Journal of Marine Science and Engineering [Internet]. 2021 ;9:185. Available from: https://www.mdpi.com/2077-1312/9/2/185
Zancanaro M, Mrosek M, Stabile G, Othmer C, Rozza G. Hybrid Neural Network Reduced Order Modelling for Turbulent Flows with Geometric Parameters. Fluids [Internet]. 2021 ;6:296. Available from: https://doi.org/10.3390/fluids6080296
Akdemir A, Colinet A, McCann R, Cavalletti F, Santarcangelo F. Independence of synthetic curvature dimension conditions on transport distance exponent. Trans. Amer. Math. Soc. [Internet]. 2021 ;374:5877–5923. Available from: https://doi.org/10.1090/tran/8413
Romor F, Tezzele M, Rozza G. A local approach to parameter space reduction for regression and classification tasks. arXiv preprint arXiv:2107.10867. 2021 .
Nobili F, Pasqualetto E, Schultz T. On master test plans for the space of BV functions. 2021 .
Khamlich M, Pichi F, Rozza G. Model order reduction for bifurcating phenomena in Fluid-Structure Interaction problems. 2021 .
Strazzullo M. Model Order Reduction for Nonlinear and Time-Dependent Parametric Optimal Flow Control Problems. 2021 .
Nonino M, Ballarin F, Rozza G. A Monolithic and a Partitioned, Reduced Basis Method for Fluid–Structure Interaction Problems. Fluids [Internet]. 2021 ;6:229. Available from: https://www.mdpi.com/2311-5521/6/6/229
Gigli N, Violo IYuri. Monotonicity formulas for harmonic functions in RCD(0,N) spaces. 2021 .
Romor F, Tezzele M, Rozza G. Multi-fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces. In: Proceedings in Applied Mathematics & Mechanics. Vol. 20. Proceedings in Applied Mathematics & Mechanics. Wiley Online Library; 2021.
Romor F, Tezzele M, Mrosek M, Othmer C, Rozza G. Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering. arXiv preprint arXiv:2110.14396. 2021 .
Heltai L, Caiazzo A, Müeller L. Multiscale coupling of one-dimensional vascular models and elastic tissues. Annals of Biomedical Engineering. 2021 .
Papapicco D, Demo N, Girfoglio M, Stabile G, Rozza G. The Neural Network shifted-Proper Orthogonal Decomposition: a Machine Learning Approach for Non-linear Reduction of Hyperbolic Equations. 2021 .
Girfoglio M, Scandurra L, Ballarin F, Infantino G, Nicolò F, Montalto A, Rozza G, Scrofani R, Comisso M, Musumeci F. Non-intrusive data-driven ROM framework for hemodynamics problems. Acta Mechanica Sinica. 2021 ;37:1183–1191.

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